In this paper, the capabilities of different dynamic analytical models to
approximate experimentally measured FRFs of elastomeric engine mounts of a
passenger car are investigated. Artificial neural networks is used in
identifying the dynamic characteristics of each model. Impact hammer test is
implemented to extract measured FRFs and harmonic analysis is used to get the
counterpart response of the models. Here linear and orthotropic material
properties are considered for elastomeric media. The frequency response
functions of updated models are compared with experimentally detected ones and
advantages and limitations of each model to simulate the real dynamic behaviour
of elastomeric engine mounts are discussed

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